Operations | Monitoring | ITSM | DevOps | Cloud

The BCG recently released a report on the cost of cloud. The findings? Hyperscalers are charging up to 30% more for their sovereign-cloud offerings. It supports an earlier notion that if you want control, compliance, and jurisdictional certainty, you have to pay a premium. At Civo, we think that is broken. As data volumes grow and AI workloads become central to business strategy, the economics of cloud computing are being re-examined.

Modern DevOps faces tough monitoring challenges due to distributed systems, containers, and microservices. Key issues include fragmented visibility, alert fatigue, tool overload, pipeline blindspots, and cloud cost inefficiencies.

Cloud monitoring is essential for tracking performance, security, and costs in dynamic environments. With 94% of enterprises using cloud services and 81% adopting multi-cloud setups, maintaining control is critical. Here's what you need to know.

After three decades of working with databases, one thing I’ve seen over and over is this: we don’t treat our development and test environments with the same respect we do our production systems. Not because people don’t care. Far from it. It’s usually because teams are under pressure, everyone’s juggling multiple priorities, and the quickest path forward often wins the day.

Teams that find a weekly rotation too long and a daily rotation too short often end up choosing between 2-day and 4-day rotations. This guide compares both these rotations across three key criteria. For each criterion, we have discussed how it works for 2-day and 4-day rotations and recommended what to choose when. To make it easy, we also included a comparison table for a quick overview. This gives you all the information you need at a glance. Let’s dive in! Table of contents.

PostgreSQL ODBC drivers are no longer background components. For teams running BI, reporting, and ETL on PostgreSQL, the drivers directly affect how fast queries run, how reliably dashboards refresh, and whether data pipelines remain stable as usage grows. As PostgreSQL moves deeper into analytics stacks, these capabilities are driving the demand for these tools, a trend reflected in broader ODBC market growth.

There is often a temptation to stretch on-call shifts to a month or longer, especially when incident volume is low. The logic seems sound. If the phone rarely rings, it feels unnecessary to hand off on-call duties every week. But looking strictly at incident volume often misses the human side of the equation. Being on-call isn’t just about answering pages. It is also a state of mind. Even when it is quiet, simply being on-call could create fatigue of its own.

Today, we’re launching a new approach to running disaster recovery tests, validating failover processes, and ensuring compliance with regulations such as DORA. With Disaster Recovery Testing, you can run zone, region, and datacenter-scale experiments across your entire Gremlin organization simultaneously. ‍